Coronary Artery Involvement in Children With Kawasaki Disease
Bibliographic record
Abstract
BACKGROUND: Most studies of coronary artery involvement and associated risk factors in Kawasaki disease have used the Japanese Ministry of Health dichotomous criteria. Analysis of serial normalized artery measurements may reveal a broader continuous spectrum of involvement and different risk factors. METHODS AND RESULTS: Clinical, laboratory, and echocardiographic measurements obtained at baseline and 1 week and 5 weeks after presentation were examined in 190 Kawasaki disease patients as part of a clinical trial of primary therapy with pulse steroids in addition to standard intravenous immunoglobulin. Maximum coronary artery z score normalized to body surface area was significantly greater than normal at all time points, decreasing significantly over time from baseline. A maximal z score > or = 2.5 at any time was noted in 26% of patients. Japanese Ministry of Health dimensional criteria were met by 23% of patients. Significant independent factors associated with greater z score at any time included younger patient age, longer interval from disease onset to treatment with intravenous immunoglobulin, lower serum IgM level at baseline, and lower minimum serum albumin level. z scores of the proximal right coronary artery were higher than those in the left anterior descending branch. CONCLUSIONS: Analyses of serial normalized coronary artery measurements in optimally treated Kawasaki disease patients demonstrated that for most patients, measurements are greatest at baseline and subsequently diminish; baseline measurements appear to be good predictors of involvement during early follow-up. When a more precise assessment is used, risk factors for coronary artery involvement are similar to those defined with arbitrary dichotomous criteria.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".